• Corpus ID: 38776733

CLASSIFICATION OF DISEASED PLANT LEAVES USING NEURAL NETWORK ALGORITHMS

@inproceedings{Muthukannan2015CLASSIFICATIONOD,
  title={CLASSIFICATION OF DISEASED PLANT LEAVES USING NEURAL NETWORK ALGORITHMS},
  author={Kanthan Muthukannan and Pitchai Latha and R. Pon Selvi and Pathur Nisha},
  year={2015}
}
Agriculture is the mother of all cultures. It played a vital role in the development of human civilization. But plant leaf diseases can damage the crops there may be economic losses in crops. Without knowing about the diseases affected in the plant, the farmers are using excessive pesticides for the plant disease treatment. To overcome this, the detected spot diseases in leaves are classified based on the diseased leaf types using various neural network algorithms. By this approach one can… 
A Review on Plant Leaf Diseases Detection and Classification Based on Machine Learning Models
For farmers, India is very famous in agriculture. The economic growths for all nations are dependent on agricultural products. Due to plant diseases, the quantity and quality of agriculture yield are
Detection and Classification of Leaf Disease in Plants using K – Means Clustering and Neural Network
India is agriculture based country. Countries’ economy is almost based on the plant production. Plants are infected by the virus, fungus and bacteria. When plants are infected, plants production is
Plant Leaf Disease Detection using Deep Learning and Convolutional Neural Network
TLDR
A new approach in detecting plant diseases using the deep convolutional neural network trained and fine -tuned to fit accurately to the database of a plant’s leaves that was gathered independently for d iverse plant diseases.
MAIZE LEAF DISEASES RECOGNITION AND CLASSIFIACTION BASED ON IMAGING AND MACHINE LEARNING TECHNIQUES
Ethiopia is one of the developing countries in the world, and its economy depends on both agriculture and industry. From agriculture products, maize crop is one of the most important for both human
AI-based Detection of Pest Infected Crop and Leaf
Plant infection/disease is one of the ongoing challenges for farmers, which imposes a threat on their income and food security. Detecting infection in plants or crops is an onerous task because the
Automatic Cotton Leaf Disease Diagnosis and Controlling Using Raspberry Pi and IoT
TLDR
This paper proposed such a system for diagnosis as well as controlling of disease infection on cotton leaves together with soil quality monitoring together with Raspberry Pi, which makes it impartial and price powerful system.
A Survey on Diseases Detection and Classification of Agriculture Products using Image Processing and Machine Learning
TLDR
This paper presents various existing techniques used to detect the disease of agriculture product, and surveys the mythologies utilized for disease detection, segmentation of the affected part and classification of the diseases.
Plant Disease Detection by Leaf Image Classification Using Convolutional Neural Network
TLDR
This work uses Deep Convolutional Neural Network (CNN) to detect plant diseases from images of plant leaves and accurately classify them into 2 classes based on the presence and absence of disease.
Identification and Classification of Leaf Diseases in Turmeric Plants
Plant disease identification is the most important sector in agriculture. Turmeric is one of the important rhizomatous crops grown in India. The turmeric leaf is highly exposed to diseases like
Analysis of Leaf Features in Chili Plants Using Automated Color Equalization (ACE)
Chili is a variety of crop groups that have promising business prospects. To obtain optimal agricultural yield, then the process of plant care and how to planting should be maximal. Constraints often
...
1
2
3
4
...

References

SHOWING 1-10 OF 17 REFERENCES
Classification of Rice Leaf Diseases Based onMorphological Changes
TLDR
An automated system has been developed to classify the leaf brown spot and the leaf blast diseases of rice plant based on the morphological changes of the plants caused by the diseases.
Detection of unhealthy region of plant leaves and classification of plant leaf diseases using texture features
P lant diseases have turned into a dilemma as it can cause significant reduction in both quality and quantity of agricultural products.  Automatic detection of plant diseases is an essential research
Detection and Classification of Plant Leaf Diseases using ANN
Plant diseases problem can cause significant reduction in both quality and quantity of agricultural products. Automatic detection of plant leaf diseases is an essential research topic as it may prove
“Diagnosis and classification of grape leaf diseases using neural networks”
Plant diseases cause significant damage and economic losses in crops. Subsequently, reduction in plant diseases by early diagnosis results in substantial improvement in quality of the product.
Classification of cotton leaf spot diseases using image processing edge detection techniques
  • P. Revathi, M. Hemalatha
  • Engineering
    2012 International Conference on Emerging Trends in Science, Engineering and Technology (INCOSET)
  • 2012
This Proposed Work exposes, a advance computing technology that has been developed to help the farmer to take superior decision about many aspects of crop development process. Suitable evaluation and
Classification of watermelon leaf diseases using neural network analysis
TLDR
The proposed automated classification model involved the process of diseases classification using Statistical Package for the Social Sciences and Neural Network Pattern Recognition Toolbox in MATLAB and showed that the type of leaf diseases achieved 75.9% of accuracy based on its RGB mean color component.
Grading and Classification of Anthracnose Fungal Disease of Fruits based on Statistical Texture Features
In this paper, lesion areas affected by anthracnose are segmented using segmentation techniques, graded based on percentage of affected area and neural network classifier is used to classify normal
The potential of automatic methods of classification to identify leaf diseases from multispectral images
Three methods of automatic classification of leaf diseases are described based on high-resolution multispectral stereo images. Leaf diseases are economically important as they can cause a loss of
Plant Leaf Recognition using Shape based Features and Neural Network classifiers
TLDR
An automated system for recognizing plant species based on leaf images using the Moments-Invariant model and the Centroid- Radii model is proposed, which is comparable to the best figures reported in extant literature.
Fast and Accurate Detection and Classification of Plant Diseases
TLDR
The experimental results demonstrate that the proposed technique is a robust technique for the detection of plant leaves diseases and can achieve 20% speedup over the approach proposed in [1].
...
1
2
...